OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
A nonparametric Bayesian method of translating machine learning scores to probabilities in clinical decision support
Brian Connolly, Kevin Bretonnel Cohen, Daniel Santel, et al.
BMC Bioinformatics (2017) Vol. 18, Iss. 1
Open Access | Times Cited: 6
Brian Connolly, Kevin Bretonnel Cohen, Daniel Santel, et al.
BMC Bioinformatics (2017) Vol. 18, Iss. 1
Open Access | Times Cited: 6
Showing 6 citing articles:
Artificial Intelligence and Suicide Prevention: A Systematic Review of Machine Learning Investigations
Rebecca A. Bernert, Amanda M. Hilberg, Ruth Melia, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 16, pp. 5929-5929
Open Access | Times Cited: 160
Rebecca A. Bernert, Amanda M. Hilberg, Ruth Melia, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 16, pp. 5929-5929
Open Access | Times Cited: 160
On the appropriateness of Platt scaling in classifier calibration
Björn Böken
Information Systems (2020) Vol. 95, pp. 101641-101641
Closed Access | Times Cited: 43
Björn Böken
Information Systems (2020) Vol. 95, pp. 101641-101641
Closed Access | Times Cited: 43
A systematic literature review of data science, data analytics and machine learning applied to healthcare engineering systems
Roberto Salazar-Reyna, Fernando González Aleu, Edgar M.A. Granda-Gutierrez, et al.
Management Decision (2020) Vol. 60, Iss. 2, pp. 300-319
Closed Access | Times Cited: 30
Roberto Salazar-Reyna, Fernando González Aleu, Edgar M.A. Granda-Gutierrez, et al.
Management Decision (2020) Vol. 60, Iss. 2, pp. 300-319
Closed Access | Times Cited: 30
Better Classifier Calibration for Small Datasets
Tuomo Alasalmi, Jaakko Suutala, Juha Röning, et al.
ACM Transactions on Knowledge Discovery from Data (2020) Vol. 14, Iss. 3, pp. 1-19
Open Access | Times Cited: 10
Tuomo Alasalmi, Jaakko Suutala, Juha Röning, et al.
ACM Transactions on Knowledge Discovery from Data (2020) Vol. 14, Iss. 3, pp. 1-19
Open Access | Times Cited: 10
Functional data analysis and prediction tools for continuous glucose-monitoring studies
Emrah Gecili, Rui Huang, Jane Khoury, et al.
Journal of Clinical and Translational Science (2020) Vol. 5, Iss. 1
Open Access | Times Cited: 8
Emrah Gecili, Rui Huang, Jane Khoury, et al.
Journal of Clinical and Translational Science (2020) Vol. 5, Iss. 1
Open Access | Times Cited: 8
Corticosteroid Randomization after Significant Head Injury and International Mission for Prognosis and Clinical Trials in Traumatic Brain Injury Models Compared with a Machine Learning-Based Predictive Model from Tanzania
Cyrus Elahi, Syed M. Adil, Francis Sakita, et al.
Journal of Neurotrauma (2021) Vol. 39, Iss. 1-2, pp. 151-158
Closed Access | Times Cited: 6
Cyrus Elahi, Syed M. Adil, Francis Sakita, et al.
Journal of Neurotrauma (2021) Vol. 39, Iss. 1-2, pp. 151-158
Closed Access | Times Cited: 6
